Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

• GeneAlign: a coding exon prediction tool based on phylogenetical comparisons.

  PMID 16845010 · PMC1538901 · Nucleic acids research · 2006 · 8 claims · 5 setups

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  GeneAlign predicts coding exons by using signal detection (GeneSplicer/WMM) combined with CORAL, a heuristic linear-time alignment tool, to align candidate signal-flanked regions against annotated exons of a homologous organism's genes

  homologous human-mouse same gene comparative parameter micro-exon

• Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.

  PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups

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  ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.

  blood baseline-corrected 953-dimensional training seldi-tof wavelet ant

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.

  PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups

  Has reproduction · 83

  MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.

  pooled hc227 contig sets shotgun novo alignment-free

• Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.

  PMID 16469098 · PMC1409804 · BMC bioinformatics · 2006 · 7 claims · 3 setups

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  AUGUSTUS+ extends the AUGUSTUS GHMM by combining intrinsic sequence information with extrinsic hints via an extended emission alphabet, so the GHMM jointly models the DNA sequence, gene structure, and hint collection.

  chromosome genomic training ghmm-based sequence parameter

• Protein ranking by semi-supervised network propagation.

  PMID 16723003 · PMC1810311 · BMC bioinformatics · 2006 · 8 claims · 5 setups

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  RankProp, a diffusion-based network propagation algorithm on a PSI-BLAST-derived protein similarity network, significantly outperforms local search methods (BLAST/PSI-BLAST) at detecting remote homologs.

  scop similarity same psi-blast rankprop probabilistic

• AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

  PMID 16925833 · PMC1810548 · Genome biology · 2006 · 8 claims · 5 setups

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  AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP

  genome human-mouse genes initio comparative extrinsic

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

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  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical